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From JPEG to AI Infrastructure, How Does AINFT Achieve a New Ecological Reconstruction?

From JPEG to AI Infrastructure, How Does AINFT Achieve a New Ecological Reconstruction?

深潮深潮2025/10/16 02:03
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By:深潮TechFlow

AINFT aims to build a decentralized AI application aggregation ecosystem, allowing users to freely explore and utilize various AI Agent digital assistants just like using an "App Store."

AINFT aims to build a decentralized AI application aggregation ecosystem, allowing users to freely explore and invoke various AI Agent digital assistants just like using an “App Store.”

Recently, the crypto industry has witnessed a forward-looking strategic leap as AINFT officially completed its brand overhaul, fully upgrading to AINFT. This marks a shift in its business focus from the original NFT art collection platform to a comprehensive focus on building crypto AI infrastructure centered on the integration of “AI + blockchain,” ushering in a new stage of ecosystem development.

This upgrade is not a simple name change, but a deep reconstruction of ecosystem positioning, technical roadmap, and narrative logic. AINFT’s core goal is to become a key AI infrastructure layer and AI Agent application framework innovation center within the TRON ecosystem, providing solid support for the AI-driven development of the entire ecosystem from underlying technology to upper-layer applications.

From previously focusing on “JPEG” type NFTs to now anchoring on “crypto AI infrastructure,” AINFT’s new ecosystem layout has gradually taken shape and attracted widespread industry attention.

On the developer empowerment front, AINFT has launched a series of innovative AI Agent tools, including the “AINFT Agent Framework” general-purpose AI Agent framework multifunctional toolbox and the “AINFT Nova” one-click AI Agent project creation platform. These tools allow developers to quickly customize exclusive AI Agent applications without deep technical expertise, significantly lowering the development threshold for crypto AI applications and effectively attracting global developers and project teams to join, injecting core momentum into the co-construction of a new decentralized AI ecosystem.

On the ecosystem implementation front, AINFT has successfully aggregated several concrete AI products within the TRON ecosystem, forming an initial application matrix. Examples include the digital human “SunLumi” built on the SunAgent framework, the AI assistant “Banana King AI” designed for NFT creators, and the AI Agent Meme issuance platform “SunGenX” for the X platform. These products cover various AI scenarios such as virtual digital human interaction, creative assistance, and content distribution, not only validating the practicality and maturity of the AINFT technical framework but also laying a solid product foundation for subsequent large-scale ecosystem expansion.

AINFT Focuses on Building a New Decentralized AI Ecosystem Economy

This brand transformation of AINFT is not just a simple business expansion, but a fundamental strategic shift. The new brand AINFT will focus on building “crypto AI infrastructure,” relying on the TRON blockchain as its underlying support, deeply integrating AI and blockchain technologies to create a “trustworthy, decentralized” operating environment for AI applications, promoting the return of AI dominance to the community, and ultimately building a new, inclusive, and shared decentralized AI economic ecosystem.

To achieve this core positioning, AINFT has established clear strategic goals and implementation paths: dedicated to becoming the core AI infrastructure and AI Agent application framework innovation center within the TRON ecosystem.

Specifically, AINFT will build decentralized data markets, computing power markets, and model training markets based on the TRON network, providing comprehensive and trustworthy underlying support for AI applications. At the same time, AINFT plans to integrate various mainstream AI large models in the market (such as OpenAI GPT, etc.), including multimodal models like Sora, injecting the most advanced generative capabilities into the AINFT AI Agent ecosystem.

Through the above layout, AINFT will systematically support large-scale deployment of AI Agents, efficient model training, and asset circulation, gradually building a next-generation crypto AI ecosystem with “clear data ownership, self-circulating economic system, and autonomous operation of AI Agent proxies.”

In the decentralized AI ecosystem constructed by AINFT, the value distribution logic for participants will be completely reshaped. Whether data contributors, computing power providers, algorithm developers, or model users, all can fairly share the rich value brought by AI technology based on their actual contributions to the ecosystem. For example, data contributors receive corresponding returns through legitimate data rights confirmation; computing power providers obtain reasonable rewards by providing computing resources; algorithm developers and model users participate in value distribution based on their technical contributions or actual application results. This mechanism fundamentally solves the structural problems of data monopoly, computing power barriers, and unfair benefit distribution that have long existed in the AI field, returning the value creation of AI technology to its essence of openness, sharing, and benefiting the public.

After the brand upgrade, AINFT will continue to maintain the stable operation of its original NFT business, fully ensuring user asset security and ecosystem stability. This “dual-track parallel operation of new and old businesses” is particularly evident in the new AINFT official website structure: the top of the website prominently retains and centrally displays core NFT entry points such as the AINFT NFT marketplace, NFTPump, and the foundation, allowing users to seamlessly conduct NFT trading and collection management without changing their operational habits, continuing the core function of the “digital art gallery.” At the same time, the website has established an AI section, fully disclosing the technical roadmap, application vision, and implementation path of AI products, clearly conveying the direction of evolving into a “decentralized AI application generation factory.”

From JPEG to AI Infrastructure, How Does AINFT Achieve a New Ecological Reconstruction? image 0

This layout not only maintains the stability of the NFT foundation but also opens up a window for the display and implementation of new AI businesses, forming a synergistic development rhythm of “old business retaining users, new business expanding increment,” ultimately achieving a two-way balance between “new direction expansion” and “old business stability,” and clearly outlining the evolutionary path of the AINFT ecosystem.

Four Major AI Agent Innovation Frameworks: AINFT Drives Rapid Implementation of the Crypto AI Ecosystem

To promote the large-scale expansion of the crypto AI ecosystem, AINFT provides developers with a complete AI Agent system development framework, covering the entire process from development, deployment, incentives, to trading of AI products.

· AINFT Agent Framework: General AI Agent Framework Development Toolbox

As AINFT’s independently developed AI Agent system development framework, this toolbox provides developers with a rich set of toolkits and supporting components, supporting the rapid construction of exclusive AI Agent applications.

· AINFT Nova: AI Agent Project Creation and Token Issuance Platform

Nova supports users in one-click creation of personalized AI Agents and their supporting tokens, seamlessly integrating AI Agents into mainstream social platforms such as Twitter, Telegram, and Discord, enabling automated content publishing, intelligent comment replies, and fan interactions.

· AINFT AgenTX: AI-driven DeFi Trading Framework

AgenTX focuses on the AI Agent trading framework infrastructure in the DeFi field, providing on-chain users with highly intelligent, self-evolving trading strategies and automated execution solutions.

· AINFT Grid: Decentralized AI Model Training Platform

Through a distributed framework that integrates idle computing power worldwide, it supports data contributors to participate in model training and receive token incentives while protecting privacy. The trained AI model results are assetized and traded in the form of NFTs.

These four core AI Agent framework tools have clear functions and work synergistically, jointly supporting AINFT’s complete closed loop from technical construction to business implementation of AI Agents: from solid underlying architecture, convenient application creation, precise financial empowerment, to efficient distributed training. This not only greatly lowers the development threshold but also helps various participants efficiently turn technical ideas into operable AI services and products, allowing innovative ideas to quickly take root.

In terms of resources and experience, AINFT has a deep foundation. Its five years of solid accumulation with APENFT, nearly a million mature users, market-validated technical capabilities, and rich successful operational experience are all valuable resources that will become the “key fuel” for AINFT to expand AI products. In particular, AINFT’s successful experience in NFT “asset confirmation—circulation—value anchoring” provides highly valuable reference experience for the on-chain flow of AI data and model assets. These deep accumulations will provide strong support for the comprehensive development of AI ecosystem products, allowing AINFT to avoid starting from scratch.

In addition, with the hundreds of millions of users in the TRON ecosystem, complete DeFi infrastructure, and mature operational experience, new AI projects within the AINFT framework can easily achieve rapid launch, efficient testing, and continuous iteration, greatly shortening the cycle from concept to product formation and accelerating the transformation of innovative achievements.

In terms of resource integration, AINFT has made key cooperative arrangements in advance. In July this year, AINFT reached deep cooperation with Binance and other top global CEX platforms, achieving important layouts such as NFT token listing in the Alpha zone and application integration with wallets, opening up global traffic entry and asset circulation channels in advance, solving the difficulties of new project launches, and accumulating key experience for the large-scale implementation of the AINFT ecosystem. With Binance’s traffic, new projects in the AINFT ecosystem can quickly reach tens of millions of users and gain international recognition.

In the future, AINFT will continue to leverage its advantages, attract more developers and project teams to deploy applications, and work together to build a prosperous and vibrant AI ecosystem.

The Prototype of the AINFT Ecosystem Has Emerged: Prioritizing the Implementation of Web3 Native AI Aggregation Applications and Aggregating TRON Ecosystem AI Applications

As a core builder of crypto AI infrastructure, AINFT’s grand vision for the AI ecosystem is not an empty concept, but a clear and feasible implementation path. AINFT will prioritize the launch of Web3 native AI aggregation applications as an entry point, deeply integrating existing AI project resources within the TRON ecosystem, and equipping a complete AI developer toolchain to efficiently and rapidly advance the development and deployment of AI Agent products.

In terms of product strategy, AINFT will prioritize the creation of a Web3 native AI aggregation platform, positioning itself as the “Poe or Perplexity of the Web3 field,” and is committed to becoming the core bridge and key hub connecting the Web3 ecosystem and cutting-edge AI services.

In the initial stage, the platform will widely integrate mainstream AI large models in the market such as OpenAI GPT, Claude, Gemini, and Grok, fully covering core functions such as text generation and logical analysis. At the same time, the platform will deeply align with the operational habits and usage needs of Web3 users, innovatively supporting the direct use of cryptocurrencies to access AI services, breaking the barriers of traditional payment methods; and opening flexible and composable large model API interfaces to developers, giving them the freedom to allocate AI capabilities according to specific application scenarios. This ingenious design directly addresses the pain points of “difficult AI service integration and incompatible payment methods” in the Web3 field, laying a solid foundation for the smooth implementation of subsequent complex AI applications.

Looking ahead, AINFT also plans to introduce advanced multimodal models such as Sora to further enrich its decentralized AI ecosystem and inject cutting-edge generative capabilities into AI Agents. Not only will AI Agents be able to interpret unstructured data such as text and images and simulate complex scenarios in finance and social domains, but they will also autonomously generate on-chain verifiable NFT digital assets (such as AI-created art and scenario-based collectibles), as well as provide intelligent dialogue and dynamic display for rich interactive experiences. Ultimately, the entire process from AI content creation, tokenization, to commercialization will be completed on-chain, directly linking AI value creation with on-chain assets.

Currently, AINFT has preliminarily completed the integration of several AI innovation projects within the TRON ecosystem, with the ecosystem outline becoming increasingly clear and its practicality gradually emerging:

· SunLumi (AI Digital Human): An AI digital virtual human built on the SunAgent framework, empowered by AI technology, with intelligent dialogue and social interaction capabilities, supporting automatic tweet replies, market insights, and even live interaction;

· Banana King AI (NFT Creator AI Tool): An AI assistant designed specifically for NFT creators, empowering the entire NFT creation process, covering key stages such as concept ideation, value mining, and narrative construction;

· SunGenX (AI Agent Meme Issuance Platform): An AI Agent Meme automatic issuance tool that enables intelligent, low-threshold MEME token creation and issuance with “tweet-to-token” functionality.

From JPEG to AI Infrastructure, How Does AINFT Achieve a New Ecological Reconstruction? image 1

On the basis of fully connecting existing resources and capabilities, AINFT is steadily outlining the blueprint for the deep integration of “AI + Web3,” clearly demonstrating the evolutionary trajectory from technology implementation to comprehensive ecosystem prosperity.

For end users, the future AINFT platform will be an aggregated ecosystem of decentralized AI applications. Users can freely explore and invoke various AI Agent digital assistants just like using an “App Store,” easily achieving automated on-chain asset management, participating in on-chain community governance, cross-platform content creation, and more, truly stepping into a new stage of intelligent crypto life.

From initially focusing on JPEG-type NFT digital carriers to now becoming crypto AI infrastructure supporting complex AI applications, AINFT has achieved a fundamental leap from “digital object” to “intelligent subject.” Its core logic has shifted completely from “owning assets” to “actively creating value and realizing functions,” no longer limited to the ownership of static assets (such as NFTs), but focusing on the actual value and application possibilities that AI can unleash.

Based on the four major AI Agent frameworks and accumulated resources, AINFT is systematically responding to the key proposition of AI development in the decentralized world: how to achieve fair construction, efficient application, and reasonable value distribution of AI.

As the ecosystem continues to evolve, more innovative applications will continue to join, and a more open, intelligent, and interconnected crypto AI landscape is steadily unfolding under the impetus of AINFT.

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Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.